Senior Economist, Ad Measurements Science

Senior Economist, Ad Measurements Science Job ID: 2721292 | Amazon.com Services LLCAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.Passionate about Causal Inference and Big Data Systems? Interested in building new state-of-the-art measurement products at scale? Be part of a team of industry leading experts that operates one of the largest analytics and data science ecosystems at Amazon. Amazon is leveraging its highly unique data and applying the latest machine learning and big data technologies available to change the way marketers optimize their advertising spend. Our campaign measurement and reporting systems apply these technologies on terabytes of data a day (over 50B new events per day). In this role, you will be one of the key Economists tackling some of the hardest problems in advertising; measuring ads incrementality, providing estimated counterfactuals and predicting the success of advertising strategies. You will develop state of the art causal learning, deep learning, and predictive techniques to help marketers understand and optimize their spend.As an Economist on this team, you will:Build economic models that leverage historical ad spending and sales data to help customers understand the impact of their Ad Spending.Leverage an opt-in Shopper Panel to gain unique insights.Work with Economists, Applied Scientists, Data Scientists to develop and guide roadmaps.Design and analyze experiments (A/B testing etc.) to evaluate different strategies.Use large datasets or experiments to make causal inferences or predictions.Work with engineers to automate science analysis processes and build scalable measurement solutions.Review and audit modeling processes and results for other scientists, both junior and senior.Partner with other science leaders throughout Amazon to develop consistent and repeatable solutions.Communicate with org leaders and business/engineering teams for models, experiments and data analysis.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.BASIC QUALIFICATIONS - PhD in economics or equivalentPREFERRED QUALIFICATIONS - Experience in analytics and applied economics

Submit your CV and any additional required information after you have read this description by clicking on the application button.- Experience in developing and executing an analytic vision to solve business-relevant problems- Experience in building statistical models using R, Python, STATA, or a related software- Experience in industry, consulting, government or academic researchAmazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.Posted:

August 9, 2024

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